Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation by Jaewon Lee, Miyoung Shin

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A comprehensive analysis and comparative study of the trends in thyroid cancer burden in China and globally from 1990 to 2021, with projections for the next 15 Years by Yulai Yin, Xiaoyu Zhang

“…ObjectiveThis study aims to analyze the trends in incidence, prevalence, mortality, and disability-adjusted life years (DALYs) of thyroid cancer across gender and age groups in China and globally from 1990 to 2021, using data from the Global Burden of Disease (GBD) database. …”
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Implementation of Fuzzy Logic Scheme for Assessment of Power Transformer Oil Deterioration Using Imprecise Information by Zuhaib Nishter, Fangzong Wang

“…Traditional diagnoses are based on strict measurements that do not account for the factors of variability and uncertainty of the actual data. In this article, we perform six different types of tests in this regard, and data have been collected during the period of 2021 to 2022 of 188 power transformer failures in the New KotLakhpat Lahore unit, whose voltage range is 132/66 kv and rating capacity is 40/50 MVA. …”
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Digitalization of the Workflow for Drone-Assisted Inspection and Automated Assessment of Industrial Buildings for Effective Maintenance Management by Jorge Torres-Barriuso, Natalia Lasarte, Ignacio Piñero, Eduardo Roji, Peru Elguezabal

“…This paper researches an innovative digitalized process for the inspection and diagnosis of industrial buildings, which leads to categorizing and prioritizing maintenance actions in an objective and cost-effective way from the inspection data. The process integrates some technical developments carried out in this work, aimed to automate the workflow: the drone-based inspection, the building condition assessment from the definition of a standardized construction pathology library, and a visual analysis of pathology evolution based on photogrammetry. …”
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Application of Multimodal Anesthesia in Surgical Interventions for Lung Cancer by S. V. Kachur, V. T. Dolgikh, O. V. Korpacheva, O. V. Leonov

“…Pain intensity was assessed by the visual analog scale. Data processing was carried out using Microsoft Exсel 2000, STATISTICA6.0 and Biostat software. …”
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Clinical Outcomes of Allograft Superior Capsular Reconstruction for Irreparable Posterosuperior Rotator Cuff Tears in Patients Aged 65 and Older: A Retrospective Study by Hsin-Pei Sung, Wei-Cheng Chen, Yung-Chang Lu, Tsung-Yu Lin, Po-Ju Wu

“…Nonetheless, there exists a deficiency in clinical data concerning the outcomes of SCR conducted within an older demographic. …”
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Next-Gen Video Watermarking with Augmented Payload: Integrating KAZE and DWT for Superior Robustness and High Transparency by Himanshu Agarwal, Shweta Agarwal, Farooq Husain, Rajeev Kumar

“…This often results in a compromise on maintaining critical relationships within the data. <b>Purpose:</b> This research aims to tackle the growing problem of digital piracy, which represents a major risk to rights holders in various sectors, most notably those involved in entertainment. …”
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Development and evaluation of a Physiotherapy-led, WHO-ICOPE-Based, Person-Centered Integrated Care Program (PTICOPE) module to enhance intrinsic capacity in older adults: Protocol... by Nurhazrina Noordin, Akkradate Siriphorn, Yu Chye Wah, Maria Justine

“…Secondary outcomes will evaluate QoL, activities of daily living, urogenital health, and oral health at baseline and 12th week. The normality of data will be checked. The independent t-tests, Chi-square tests, paired t-tests, and Repeated measures ANOVA will be used for data analysis, with a significant level at p < 0.05.…”
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Housing Informalities Between Formal Designs and Informal Reality by Rim Mrani, Jérôme Chenal, Hassan Radoine, Hassan Yakubu

“…This research aims to visually capture how residents adapt their housing through unauthorized modifications. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Abstract Data integrity and security issues are worsening with the emergence of new technologies such as 5G, IoT, AI, and Cloud. …”
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What’s in it for citizen scientists? An analysis of participant’s gains from a democratisation perspective [version 2; peer review: 1 approved, 2 approved with reservations, 1 not... by Claudia Magdalena Fabian, Elisabeth Unterfrauner, Beatriz Garcia, Gary Hemming

“…The demographic analysis of the data reveals that participants were quite heterogeneous and that people who feel that they belong to a group that is discriminated against are particularly motivated to participate in citizen science projects. …”
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Diagnostic value of serum anti-Müllerian hormone in girls with juvenile idiopathic arthritis during puberty by Anna V. Kolsanova, Galina V. Santalova, Polina V. Kartashova, Irina E. Dufinets, Victoria I. Chekmareva

“…Patients completed a questionnaire, medical history data were reviewed, and blood sampling for AMH testing was performed. …”
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Impacts of COVID-19 on Air Quality in India by Ram Lal Verma, Jatinder Singh Kamyotra

“…The NAQI and satellite visual maps of AOD, NO2, CO, and SO2 from January to April 2020 showed a significant decrease in air pollution levels in India. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

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Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework by Khadija Pervez, Syed Irfan Sohail, Faiza Parwez, Muhammad Abdullah Zia

“…The framework employs a hierarchical federated learning approach that allows distributed learning across clinical centers, ensuring that sensitive patient data remain localized. Explainability techniques such as saliency maps, occlusion sensitivity, and randomized input sampling for explanation with relevant evaluation scores are integrated in the framework to provide visual and textual explanations of model’s predictions to enhance interpretability. …”
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How has the COVID-19 pandemic changed treatment preferences of patients with proximal ureteral stones? by Ali Kaan Yildiz, Ahmet Varan, Hakan Kurt, Omer Gokhan Doluoglu, Berat Cem Ozgur

“…Materials and methods. Retrospective data regarding treatment preferences of patients diagnosed with symptomatic proximal ureteral stones between July 2018 and November 2021 at a single center were analyzed. …”
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HMOVG: An Interactive Computer Program Based on the Huckel Molecular Orbital Model and Making an Extensive Use of Graphic Facilities by Michel Roch, Jean-Jacques Combremont, Jacques Weber

“…Most of the input is made from a data tablet and the output is treated graphically on the display monitor. …”
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Optimal feature encoding in early vision by Serena Castellotti, Giacomo Mazzotta, Alessandro Benedetto, Maria Michela Del Viva

“…Abstract The human visual system processes a massive amount of visual information very rapidly, requiring efficient coding mechanisms to handle such data within physiological constraints. …”
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Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images by Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei, Mingming Xu, Shanwei Liu

“…This study presents Algae-Mamba, an advanced network for algae extraction that builds upon the visual state-space (VSS) model. The Algae-Mamba unified VSS model and the Kolmogorov&#x2013;Arnold network proposed the Kolmogorov&#x2013;Arnold visual state space (KVSS) model. …”
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Cap2Seg: leveraging caption generation for enhanced segmentation of COVID-19 medical images by Wanlong Zhao, Wanlong Zhao, Fan Li, Fan Li, Yueqin Diao, Yueqin Diao, Puyin Fan, Puyin Fan, Zhu Chen, Zhu Chen

“…Incorporating medical text annotations compensates for the quality deficiencies of image data, effectively overcoming the limitations of medical image segmentation. …”
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